common

package

v0.0.0-...-5e67677 Latest Latest Go to latest Published: Dec 29, 2022 License: Apache-2.0 Imports: 5 Imported by: 0

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Repository

github.com/pilillo/apostasi

Links

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Documentation ¶

Index ¶

func ArgMax[T featurizable](data []T) int
func Cosine[T featurizable](v1 []T, v2 []T) (cosine float64, err error)
func CosineDistance[T featurizable](v1, v2 []T) (distance float64, err error)
func Dot[T featurizable](v1 []T, v2 []T) (dot T, err error)
func EuclideanDistance[T featurizable](v1, v2 []T) (distance float64, err error)
func EuclideanSimilarity[T featurizable](v1, v2 []T) (similarity float64, err error)
func KMeans[T featurizable](seed int64, data [][]T, k int, maxIterations int, ...) ([][]T, error)
func Mean[T featurizable](data [][]T) []T
type DocumentRelevance

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

func ArgMax ¶

func ArgMax[T featurizable](data []T) int

func Cosine ¶

func Cosine[T featurizable](v1 []T, v2 []T) (cosine float64, err error)

Cosine similarity function returns the cosine similarity of two equal-length vectors the cosine similarity is calculated as Cos(x, y) = x . y / ||x|| * ||y||

func CosineDistance ¶

func CosineDistance[T featurizable](v1, v2 []T) (distance float64, err error)

func Dot ¶

func Dot[T featurizable](v1 []T, v2 []T) (dot T, err error)

Dot function returns the dot or scalar product of two equal-length vectors

func EuclideanDistance ¶

func EuclideanDistance[T featurizable](v1, v2 []T) (distance float64, err error)

func EuclideanSimilarity ¶

func EuclideanSimilarity[T featurizable](v1, v2 []T) (similarity float64, err error)

func KMeans ¶

func KMeans[T featurizable](seed int64, data [][]T, k int, maxIterations int, similarityMeasure func([]T, []T) (float64, error)) ([][]T, error)

func Mean ¶

func Mean[T featurizable](data [][]T) []T

Types ¶

type DocumentRelevance ¶

type DocumentRelevance struct {
	DocumentVector []float64
	Similarity     float64
}

Source Files ¶

View all Source files

similarity.go

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